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Algorithm Scientist Jobs in Springfield, VA (NOW HIRING)

As a Data Scientist, you will analyze complex data sets, develop algorithms, and create systems to provide actionable insights for clients in various sectors, including fraud detection and cancer ...

Are you a Data Scientist that likes to perform research-level data analytics and are willing to ... Experience developing predictive algorithms, image classifiers, object detectors, and others.

Integrate or code algorithms to support Government intelligence search and discovery missions ... Employ data science techniques to support predictive analysis, social media and crowd-source data ...

Computer Scientist - Senior

Reston, VA · On-site

$135K - $216K/yr

Integrate or code algorithms to support Government intelligence search and discovery missions ... Employ data science techniques to support predictive analysis, social media and crowd-source data ...

Integrate or code algorithms to support Government intelligence search and discovery missions ... Employ data science techniques to support predictive analysis, social media and crowd-source data ...

Integrate or code algorithms to support Government intelligence search and discovery missions ... Employ data science techniques to support predictive analysis, social media and crowd-source data ...

Integrate or code algorithms to support Government intelligence search and discovery missions ... Employ data science techniques to support predictive analysis, social media and crowd-source data ...

The Senior Hyperspectral Image Scientist will provide subject matter expertise in spectral data ... Develop, refine, and validate spectral-based algorithms for detection, unmixing, anomaly detection ...

Senior Scientist - Optical Signal Processing

Arlington, VA · On-site

$105K - $144K/yr

They are seeking a Senior Scientist to develop algorithms for airborne passive optical systems, focusing on detection and exploitation of targets in challenging environments. Responsibilities : • ...

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Algorithm Scientist information

See Springfield, VA salary details

$52.7K

$116.3K

$143.6K

How much do algorithm scientist jobs pay per year?

As of Jul 16, 2026, the average yearly pay for algorithm scientist in Springfield, VA is $116,301.00, according to ZipRecruiter salary data. Most workers in this role earn between $98,700.00 and $143,100.00 per year, depending on experience, location, and employer.

What degree do you need to be an algorithm engineer?

Algorithm scientists typically hold at least a bachelor's degree in computer science, electrical engineering, mathematics, or related fields. Many roles require a master's or Ph.D. for advanced research and development, along with strong programming skills in languages like Python or C++ and knowledge of data structures and algorithms.

Is AI a high paid job?

Algorithm Scientists and other AI-related roles are generally well-paid due to high demand for skills in machine learning, data analysis, and programming. Salaries vary based on experience, location, and industry, but AI jobs often offer competitive compensation compared to other tech roles.

What is the highest paid job in data science?

The highest paid roles in data science are often senior positions such as Lead Data Scientist, Machine Learning Director, or Chief Data Officer, with salaries exceeding $150,000 annually and sometimes reaching over $200,000 with experience and advanced skills in areas like deep learning and big data tools. These roles typically require extensive experience, advanced degrees, and expertise in programming, statistical analysis, and data management.

Is 40 too late for data science?

As an Algorithm Scientist, age is not a barrier to entering data science. Many professionals successfully transition into data science roles later in their careers by acquiring relevant skills such as programming, statistics, and machine learning, often through online courses or certifications. Experience, continuous learning, and practical skills are more important than age in this field.

How does an Algorithm Scientist typically collaborate with cross-functional teams during the development process?

Algorithm Scientists frequently work alongside data engineers, software developers, and product managers to design and implement solutions. They are often responsible for communicating complex mathematical concepts in accessible terms to ensure alignment across the team. Regular meetings and code reviews are common, allowing for feedback and rapid iteration. This collaborative environment helps ensure that the algorithms developed are both technically sound and practically viable for real-world applications.

What are Algorithm Scientists?

Algorithm Scientists are professionals who design, analyze, and optimize algorithms to solve complex computational problems. They often work in fields like data science, artificial intelligence, finance, and engineering, developing new methods or improving existing ones for processing data efficiently. Their work involves rigorous mathematics, computer science, and research to ensure algorithms are accurate, scalable, and effective for specific applications. Algorithm Scientists may also collaborate with software engineers to implement their solutions in real-world systems.

What are the key skills and qualifications needed to thrive as an Algorithm Scientist, and why are they important?

To thrive as an Algorithm Scientist, you need a strong background in mathematics, statistics, and computer science, often supported by an advanced degree such as a Master's or Ph.D. in a related field. Proficiency with programming languages like Python or C++, machine learning libraries (e.g., TensorFlow, PyTorch), and experience with data analysis tools are typically required. Strong problem-solving abilities, analytical thinking, and effective communication skills help distinguish top performers in this role. These skills are vital for developing innovative algorithms that solve complex problems, ensuring practical, scalable solutions in technological environments.
What are popular job titles related to Algorithm Scientist jobs in Springfield, VA? For Algorithm Scientist jobs in Springfield, VA, the most frequently searched job titles are:
What job categories do people searching Algorithm Scientist jobs in Springfield, VA look for? The top searched job categories for Algorithm Scientist jobs in Springfield, VA are:
What cities near Springfield, VA are hiring for Algorithm Scientist jobs? Cities near Springfield, VA with the most Algorithm Scientist job openings:
AGS Scientist

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 29 days ago


Job description

Based in Northern Virginia, Axiologic Solutions LLC, has an opportunity for you to become part of our high-quality team that delivers innovative solutions to key federal clients. We are currently seeking a Total Lifecycle Acquisition Expert to support our growing team.
Overall Assignment Description:
IPA requires an expert scientist for the AGS project. Specific duties to be performed by the contractor are listed below.
Duties include:
The Chief Scientist will provide day-to-day technical management of the Nonconventional
Exploitation Factors Data System (NEFDS) to include:
• Translate existing requirements of users into epics, features, user stories and acceptance criteria based on an understanding of the different physical phenomenology's being exploited.
• Collect and analyze ground truth data to determine the validity and accuracy of NEFDS and Radiance non-literal exploitation tools.
• Participate in data analysis TEMs along with NRFDS and/or Radiance contractors and NGA scientists to determine the validity of laboratory collected material signatures and
spectral/atmospheric models.
• Actively participate in Agile user engagement activities, including:
• Release planning events.
• Backlog grooming.
• Sprint planning meetings.
• Scrums.
• Working software demos.
• Acceptance criteria sign-off.
• Interface with NEFDS and Radiance scientists (including the Radiance Chief Scientist) to support the development of novel concepts for new non-literal exploitation capabilities inspired by the introduction of new sensors, mission partner products, and new research from NGA scientists, the IC community, and the broader scientific community.
• Prepare documentation required during the entire product development process including pre[1]solicitation (requirements documents, program briefing materials, white papers on new scientific concepts for non-literal exploitation tools) solicitation (RFP documents, source selection advisor reports), execution (Task orders, task order evaluation reports, scientific white papers, briefing packages, RFC documentation).
Required:
• M.S. degree in physics, engineering, or remote-sensing, or equivalent work experience.
• Experience in imaging and non-literal exploitation algorithms.
• Experience in multi-spectral imaging (including hyper-spectral and polarimetric imaging) and spectral exploitation algorithms.
• Experience in synthetic aperture radar (SAR) and Ground Moving Target Indicator (GMTI) processing radar exploitation algorithms.
• Experience in developing algorithms for advanced geospatial-intelligence phenomenology's.
• Experience using AGITK thick-client, AEIA widgets and services, and NEFDS.
• Program Management Professional (PMP) or equivalent certification.
• Agile certifications (such as Certified Scrum Product Owner (CSPO) or SAFe Agilist certification) or equivalent experience.
Desired:
• Ph.D. in physics, engineering, or remote-sensing.
• Detailed understanding of how the National Technical Means (NTM), commercial, and airborne imagery flows work within the NSG architecture and how the data is exchanged from one segment to another.
• Understand the geospatial intelligence mission and its' contributions to the IC and DoD.
• Familiarity with NGA dissemination and storage systems, to include IDS-D, NGL, STIL, IPL, and WARP
• Experience with the current NGA organizational structure, acquisition policies, and Configuration Management Process
The salary range is provided in good faith and is based on several job-related factors, including, but not limited to, the role and associated responsibilities, Federal Government contract labor category requirements, contract wage determinations when applicable, clearance requirements, work location, relevant experience, education, certifications, specialized skills, internal equity, and approved funding.
For proposal-contingent positions, the listed range is an anticipated good-faith range based on current proposal assumptions. Final compensation may vary based on contract award, finalized customer requirements, approved funding, labor category alignment, and candidate qualifications.
Axiologic Solutions invests in its employees beyond compensation. Depending on position and eligibility, benefits may include medical, dental, and vision insurance, life insurance, short-term and long-term disability, paid time off, holiday pay, 401(k) with company match, tuition assistance for courses and certifications, professional development opportunities, fitness and wellness support, electronic stipend, and other optional benefit elections.
Applicants with a physical or mental disability who require a reasonable accommodation for any part of the application or hiring process may email their request to hr@axiologicsolutions.com or call 571-295-4990. Determinations on requests for reasonable accommodation will be made on a case-by-case basis.
Axiologic Solutions and its subsidiaries are an Equal Opportunity Employer and federal government contractor. We do not discriminate against any employee or applicant for employment as protected by applicable federal, state, or local laws.